| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Linköping HC | SDHL | 36 | 39 | 22 | 61 | 1.694 | 1.9816 | 1.9053 | — | — |
| 2018-19 | Linköping HC | SDHL | 18 | 16 | 22 | 38 | 2.111 | 2.4689 | 2.2800 | — | — |
| 2019-20 | Brynäs IF | SDHL | 36 | 42 | 29 | 71 | 1.972 | 2.3065 | 2.3065 | — | — |
| 2020-21 | Brynäs IF | SDHL | 36 | 31 | 51 | 82 | 2.278 | 2.6639 | 2.6639 | — | — |
| 2021-22 | Brynäs IF | SDHL | 33 | 34 | 55 | 89 | 2.697 | 3.1541 | 2.5008 | — | — |
| 2022-23 | Brynäs IF | SDHL | 32 | 18 | 43 | 61 | 1.906 | 2.2293 | 1.6833 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Minnesota Duluth | D1 | WCHA-W | — | 35 | 23 | 33 | 56 | 1.600 |
| 2015-16 | Minnesota Duluth | D1 | WCHA-W | — | 34 | 17 | 24 | 41 | 1.206 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.